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ANDROID BASED WIRELESS COMPUTING LEARNING APPLICATION USING AUGMENTED REALITY

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dc.contributor.author Assidik, Surokhman
dc.date.accessioned 2021-08-23T00:17:19Z
dc.date.available 2021-08-23T00:17:19Z
dc.date.issued 2020
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/3709
dc.description.abstract Virus outbreak that happens this year has affected all the sector in life, including education. Since WHO as the World Health Organization has mention that one of the ways to prevent and reduce the spread of this virus is stay at home and self-quarantine, thus Indonesia government through the Ministry of Education and Culture requested that the teaching and learning process be carried out online or from individual homes. All levels of education from elementary to high level must comply with this rule even though there are a lot of pros and cons about this regulation. However, for educators, online learning is considered less effective in delivering material to students. Unclear systems and inadequate infrastructure cause these problems, teachers are required to be more creative in delivering material to students as well. For some subjects, online learning is considered to be less effective. This thesis will develop a wireless computing mobile learning application to give new experience in learning and improve student learning motivation. This application will use marker-based AR to show the 3D object included the animation. This application also provides quizzes to test students' understanding and for additional features, this thesis will use voice recognition as a method to answer the quizzes. This application will use marker-based AR to display 3D objects including animation and is equipped with several other features that will assist lecturers in providing creative and innovative teaching. en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information Technology;001201700047
dc.title ANDROID BASED WIRELESS COMPUTING LEARNING APPLICATION USING AUGMENTED REALITY en_US
dc.type Thesis en_US


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